[1] Gong, X., & Pan, Y. (2024) A generalized likelihood-weighted optimal sampling algorithm for rare-event probability quantification. International Journal of Uncertainty Quantification, in press.
[2] Gong, X., & Pan, Y. (2024). Multi-fidelity Bayesian experimental design for extreme-event statistics. SIAM/ASA Journal on Uncertainty Quantification, 12(1), 101-127.
[3] Gong, X., Feng, S., & Pan, Y. (2023) An adaptive multi-fidelity framework for safety analysis of connected and automated vehicles. IEEE Transactions on Intelligent Transportation Systems.
[4] Gong, X., Siavelis, K., Zhang, Z., & Pan, Y. (2022) Computing temporal exceeding probability of ship response in random wave fields. Applied Ocean Research, 129, 103405.
[5] Gong, X., & Pan, Y. (2022). Sequential Bayesian experimental design for estimation of extreme-event probability in stochastic dynamical systems. Computer Methods in Applied Mechanics and Engineering, 395, 114979
[6] Gong, X., & Pan, Y. (2021). Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019. ASME. J. Mech. Des. 141 (10): 101404). Journal of Mechanical Design, 144.5
[7] Gong, X., Li, Y., & Lin, Z. (2018). Effects of blockage, arrangement, and channel dynamics on performance of turbines in a tidal array. Journal of Renewable and Sustainable Energy, 10(1), 01450
[8] Gong, X., Li, Y., Lin, Z., & Hu, Q. (2017). Performance of two-dimensional tidal turbine arrays in free surface flow. arXiv preprint arXiv:1711.00611.
[1] Gong, X., & Pan, Y. (2023). Quantification of extreme ship response probability in broadband wave fields, 38th International Workshop on Water Waves and Floating Bodies, Michigan, USA.
[2] Gong, X., & Pan, Y. (2022). Effects of varying initial conditions of ship encountering wave groups in computing extreme motion statistics. 34th Symposium on Naval Hydrodynamics, DC, USA.
[3] Gong, X., Silva, K. J., Maki, K. J., & Pan, Y. (2021). Effect of wave nonlinearity on the statistics of wave groups and extreme ship motion, 36th International Workshop on Water Waves and Floating Bodies, Souel, Korea.
[4] Gong, X., Zhang, Z., Maki, K. J., & Pan, Y. (2020). Full resolution of extreme ship response statistics. 33rd symposium on naval hydrodynamics, Osaka, Japan.
[1] An improved likelihood-weighted sequential sampling method for extreme events statistics, APS DFD 2023, DC.
[2] Statistics of extreme ship motions in broad-band wave field, APS DFD 2022, Indianapolis.
[3] A bi-fidelity framework to compute extreme-event probability, APS DFD 2021, Phoenix.
[4] Sequential sampling with heteroscedastic surrogate model to quantify extreme response statistics, APS DFD 2020, Chicago.
[5] Statistics of extreme body motions in nonlinear wave fields, APS DFD 2019, Seattle.
[1] Gong, X. (2018). Hydrodynamic Modelling of Tidal Turbine Arrays (Master thesis).
[2] Gong, X. (2024). A Computational Framework for Quantifying Extreme-Event Statistics in Nonlinear Systems with Stochastic Input (Doctoral dissertation).